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Regression modelEconometrics / time series

格兰杰因果检验

格兰杰因果检验是一种统计假设检验,用于确定一个时间序列的过去值是否能在该时间序列自身过去值已解释的基础上,帮助预测另一个时间序列的未来值。该检验由克莱夫·格兰杰(Clive Granger)于1969年提出,是评估向量自回归(VAR)时间序列分析中预测因果关系的标准方法。

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来源

  1. Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424–438. DOI: 10.2307/1912791
  2. Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. ISBN: 978-0691042893

如何引用本页

ScholarGate. (2026, June 3). Granger Causality Test. ScholarGate. https://scholargate.app/zh/econometrics/granger-causality-test

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被引用于

ScholarGateGranger Causality Test (Granger Causality Test). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/granger-causality-test · 数据集: https://doi.org/10.5281/zenodo.20539026